146 postdoc-in-postdoc-in-automation-and-control Fellowship positions in United Kingdom
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based in London at LSHTM. Applications should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding
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of publications in computational biology or related fields appropriate to career stage. Experience with pangenomic analysis tools and methodologies. Experience with version control systems (Git) and reproducible
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reasonably be expected from similar bridges. They will also work with a population of laboratory scale bridges in a controlled laboratory environment to examine the feasibility of applying transfer learning
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quality control protocols. Beyond identifying a scientifically optimum observational network, you will contribute to shaping an observational strategy that is not only scientifically robust and resilient
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based in London at LSHTM. Applications should be made on-line by clicking the 'Apply' button, above. Online applications will be accepted by the automated system until 10pm of the closing date. Any
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form part of the PHM. The research work will include the exploration of AI technologies and physics-based control techniques. To ensure impact and relevance, the work involves the measurement and
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accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-NCDE-2025-06. The supporting
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form part of the PHM. The research work will include the exploration of AI technologies and physics-based control techniques. To ensure impact and relevance, the work involves the measurement and
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Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics. Specifically
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experience in statistics, medical statistics, or a related mathematical field Knowledge and experience of randomised controlled trials, including adaptive trial design and analysis You will have evidence of